https://github.com/cvs-health/aequilibrium

Package designed for handling imbalanced classification

https://github.com/cvs-health/aequilibrium

Science Score: 26.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Package designed for handling imbalanced classification

Basic Info
  • Host: GitHub
  • Owner: cvs-health
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 2.22 MB
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 5
  • Open Issues: 1
  • Releases: 3
Created about 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

aequilibrium

Python package for classification of imbalanced data. Can be used to do any / all of the following: 1. Balance training data 1. Fit models to imbalanced data 1. Evaluate models trained against imbalanced data

Installation

The latest version can be installed from PyPI:

```bash

note that aequilibrium requires python 3.7

if pip install fails, check your python version

pip install aequilibrium ```

Usage

Please review our aequilibrium example code here

Features Under Development

  • Speeding up run times
  • Option to not store balanced dataframes
  • Additional balancing techniques

Contributor Guide

  1. Before contributing to this CVS Health sponsored project, you will need to sign the associated Contributor License Agreement.
  2. See contributing page.

Owner

  • Name: CVS Health
  • Login: cvs-health
  • Kind: organization

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 1
  • Total pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • burtonrj (1)
Pull Request Authors
  • lcbeas (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 60 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
pypi.org: aequilibrium

Python package for classification of imbalanced data.

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 60 Last month
Rankings
Dependent packages count: 7.1%
Average: 19.8%
Dependent repos count: 32.5%
Maintainers (1)
Last synced: 10 months ago

Dependencies

poetry.lock pypi
  • 123 dependencies
pyproject.toml pypi
  • black ^22.3.0 develop
  • hypothesis ^6.58.0 develop
  • isort ^5.9.3 develop
  • jupyter ^1.0.0 develop
  • mypy ^0.961 develop
  • nbqa ^1.5.1 develop
  • pre-commit 2.19.0 develop
  • pylint ^2.12.2 develop
  • pytest ^7.1.2 develop
  • imbalanced-learn <0.9
  • matplotlib <3.6
  • numpy ^1.21
  • pandas ^1.3
  • python >=3.7.1,<3.8
  • scikit-learn <1.1
  • seaborn <0.12